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Joint Optimization for Cooperative Service-Caching, Computation-Offloading, and Resource-Allocations Over EH/MEC 6G Ultra-Dense Mobile Networks

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IEEE Transactions on Wireless Communications 2025年

作者： Chen, Zhian Wang, Fei Zhang, Xi Southwest University College of Electronic and Information Engineering Chongqing400715 China Texas A&M University Networking and Information Systems Laboratory Department of Electrical and Computer Engineering College StationTX77843 United States

Service-caching, computation-offloading, and mobile edge-computing (MEC) have been widely recognized as three key 6G wireless technologies which can efficiently support implementing the ultra-dense networks (UDNs) with massive small-cell base stations (SBSs). But, these impose the new challenges for the UDNs to solely rely on grid power for energy supplying and to jointly optimize service-caching, computation-offloading, and resource-allocations. To overcome the above described difficulties, integrating energy-harvesting (EH) techniques with MEC-enabled 6G UDNs, we propose to develop the joint optimization schemes for cooperative service-caching, computation-offloading, and resource-allocations. In our considered UDNs, there exist a large number of EH-based stationary users (SUs) or mobile users (MUs), and a mixture of on-grid SBSs powered by electric grid and off-grid SBSs power-supplied by solar, radio frequency (RF) energy, etc. Specifically, first we formulate an energy minimization problem under a non-linear RF-energy EH model to minimize the sum of weighted energy consumption of users and off-grid SBSs. Second, for scenarios with SUs, we develop a two-timescale based joint cooperative service-caching, computation-offloading, and resource-allocations scheme using the hierarchical multi-agent deep reinforcement learning. We derive cooperative service-caching in each time frame, and then derive computation-offloading and resource-allocations in each time slot. Third, we extend our work to scenarios with MUs, where MUs can move with certain trajectories at low speeds. Finally, we validate and evaluate the performances of our proposed schemes through the extensive simulations. © 2002-2012 IEEE.

关键词： Energy utilization

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Comprehensive Modeling and Investigation of Intrinsic Variation Source Fluctuation in 2D-Layered Thin Film Transistors

Comprehensive Modeling and Investigation of Intrinsic Variat...

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Annual International Symposium on Reliability Physics

作者： Tao Du Wei Zhang Xuanyao Fong Guangxi Hu Peng Zhou Ye Lu State Key Laboratory of Integrated Chips and Systems Fudan University Shanghai China Department of Electrical and Computer Engineering National University of Singapore (NUS) Singapore Singapore

ISBN: (数字)9798331504779

ISBN: (纸本)9798331504786

In this work, a Voronoi-TCAD co-simulation framework is developed to investigate the impact of intrinsic and extrinsic variation sources on the performance and variability of 2D-layered TFTs. It is found that : i) High trap density exacerbates device variability by amplifying localized energy barriers and enhancing barrier interference; ii) The device variability reaches peak value for intermediate numbers of grains, while increased numbers of grains reduce overall variability due to statistical averaging effects, highlighting the importance of considering both the quantity of grain boundaries and their spatial distribution as key variability sources; iii) interlayer interactions in multilayer structures further exaggerate the device variability, particularly for the on-current. This demands precise control of grain alignment and distribution. These findings emphasize the importance of grain engineering strategies, such as optimizing grain size, reducing defect density, and improving interlayer uniformity, to suppress variability and enhance device performance in large-scale 2D-layered TFT applications.

关键词： Performance evaluation Grain size Grain boundaries Graphical models Fluctuations Interference Reliability engineering Nonhomogeneous media Thin film transistors Physics

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Sensitivity of DC Network Representation for GIC Analysis

Sensitivity of DC Network Representation for GIC Analysis

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IEEE Texas Power and Energy Conference (TPEC)

作者： Aniruddh Mishra Arthur K. Barnes Jose E. Tabarez Adam Mate Department of Electrical and Computer Engineering University of Texas at Austin Austin TX Information Systems and Modeling Group Los Alamos National Laboratory Los Alamos NM

ISBN: (数字)9798331541125

ISBN: (纸本)9798331541132

Geomagnetic disturbances are a threat to the reliability and security of our national critical energy infrastructures. These events specifically result in geomagnetically induced currents, which can cause damage to transformers due to magnetic saturation. In order to mitigate these effects, blocker devices must be placed in optimal locations. Finding this placement requires a dc representation of the ac transmission lines, which this paper discusses. Different decisions in this process, including the method of representing the blocking devices, result in significant variations to the power loss calculations. To analyze these effects, we conclude the paper by comparing the losses on a sample network with different modeling implementations.

关键词： Analytical models Sensitivity Substations Power transmission lines Windings Circuit faults Security Reliability Electric fields Saturation magnetization

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Low-Loss and Compact SISL Bandpass Filter Using Multilayer Stacked DLDCR

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IEEE Microwave and Wireless Technology Letters 2025年

作者： Li, Shuangxu Zhu, Lei Ma, Kaixue Tianjin University School of Microelectronics Tianjin300072 China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering Macau China Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology Tianjin300072 China

In this letter, a low-loss and compact substrate-integrated suspended line (SISL) bandpass filter (BPF) is designed by the improved Q-factor double layers and dielectric cutout resonator (DLDCR). Compared to the classical SISL single-layer resonator, DLDCR exhibits lower dielectric loss. By incorporating multiple metalized vias in the DLDCR, the desired improved Q-factor quasi-TEM mode remains minimally impacted, while the undesired resonant induced by the substrate-integrated suspended parallel stripline (SISPSL) mode is effectively moved to a frequency far away from the operating frequency of BPF. Meanwhile, to further reduce the dielectric loss associated with the resonator coupling, DLDCRs are vertically stacked on multiple boards to achieve air coupling. As a verification, a high-selectivity cascaded quadruplet (CQ) SISL BPF operating at 8.1 GHz using the low-cost FR4 dielectric is synthesized, simulated, and measured. The proposed BPF has the advantages of low loss, compact, low cost, and self-packaging. © 2023 IEEE.

关键词： Q factor measurement

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Sliding-Mode Based Model Predictive Control for Enhancing Robustness and Output Performance in Dynamic Inductive Power Transfer systems

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Chan, Pak-Ian Ieong, Chi-Fong Iam, Io-Wa Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal VLSI 999078 China University of Macau Institute of Microelectronics 999078 China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering 999078 China

In dynamic inductive power transfer (DIPT) systems for automated guided vehicles (AGVs), the movement of the AGV can significantly impact the coupling coefficient, degrading the output performance. Conventional control methods, while capable of addressing this challenge, often exhibit weak robustness due to their sensitivity to circuit parameter variations and require trial-and-error process for tuning coefficients, thus increasing design complexity and difficulty. This paper proposes a sliding-mode based model predictive control (SM-MPC) approach tailored for DIPT systems to enhance robustness and output performance. The SM-MPC employs a predictive model to force the control object to converge to a sliding surface, leveraging fast dynamic response characteristics to mitigate AGV movement-induced disturbances. A pole-placement method is introduced to directly acquire the optimal sliding coefficient, eliminating iterative tuning requirements and simplifying the design process. Herein, the DIPT system model is presented, followed by the SM-MPC design methodology, stability analysis, and sliding coefficient design. Finally, simulations and experimental results validate the proposed SM-MPC’s effectiveness in stabilizing the output performance of DIPT systems, demonstrating improved robustness against parameter variations and disturbances caused by AGV movement compared to existing control methods. © 2013 IEEE.

关键词： Predictive control systems

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Disturbance Rejection Control for PMSGs Based on Novel Sliding Mode Control Law and Unknown System Disturbance Estimator

引用

IEEE Transactions on Energy Conversion 2025年

作者： Wei, Chun Yin, Tianqi Qiao, Wei Zhu, Ying Zhejiang University of Technology College of Information Engineering Zhejiang Hangzhou310023 China University of Nebraska-Lincoln Power and Energy Systems Laboratory Department of Electrical and Computer Engineering LincolnNE68588 United States Hohai University School of Electrical and Power Engineering Nanjing211100 China

This paper proposes a novel terminal sliding mode control strategy for the speed control of permanent magnet synchronous generator (PMSG)-based wind energy conversion systems (WECSs) to improve wind power generation efficiency. Firstly, a novel terminal sliding mode function based on exponential convergence is constructed, and a controller is designed accordingly, effectively addressing the system's nonlinear characteristics while achieving high precision tracking and chattering suppression with rapid convergence. Secondly, an unknown system dynamic estimator (USDE) is designed to estimate disturbances caused by external environments and inaccurate model parameters, further enhancing the system's disturbance rejection capability. Finally, the proposed USDE-based novel exponential sliding mode control is applied in a 1000 W PMSG-based WECS hardware simulator. Experimental results indicate that compared to the full-order sliding mode controller, the proposed control method exhibits stronger speed tracking, chattering suppression, and disturbance rejection capabilities. © 1986-2012 IEEE.

关键词： Sliding mode control

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Synthesis Design of Low-Loss and Self-Packaged Bandpass Filter on λ/4 SISL Resonators Using the Short-Open-Load (SOL) Technique

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IEEE Transactions on Components, Packaging and Manufacturing Technology 2025年

In this article, an efficient and accurate synthesis design method for bandpass filters (BPFs) based on low-loss quarter-wavelength (λ/4) substrate integrated suspended line (SISL) resonators is proposed, using the short-open-load (SOL) calibration technique. The BPF topology is comprised of SISL with two volumes of vias on both side walls and alternating SISL-based J/K inverters. First, with the help of full-wave simulation, the propagation characteristics of the SISL with periodically loaded pins are analyzed and extracted by SOL. Afterward, to facilitate the filter synthesis design, the equivalent circuit parameters of each J/K inverter with symmetrical/asymmetrical feed lines are accurately extracted. Herein, the extra transition for circuit measurement can be directly merged into the input port of the J01 inverter, and then be regarded as an error box to be calibrated out by SOL. Therefore, the efficient co-design of the resultant SISL BPF containing the feed transition can be achieved. Finally, two 4th-order all-pole Chebyshev SISL BPFs with λ/4 resonators are designed and fabricated. The synthesized, simulated, and measured results of all the implemented SISL BPFs are found in good agreement, evidently demonstrating the effectiveness of the SOL technique for designing the SISL circuits. In addition, the SISL BPFs have the advantages of low loss and self-packaging against traditional planar BPFs. © 2025 IEEE.

关键词： Bandpass filters

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Equilibrium-Independent Control of Continuous-Time Nonlinear systems Via the LPV Framework

引用

IEEE Transactions on Automatic Control 2025年

作者： Koelewijn, Patrick J. W. Weiland, Siep Toth, Roland Eindhoven University of Technology Control Systems Group Department of Electrical Engineering Eindhoven Netherlands Institute for Computer Science and Control Systems and Control Laboratory Budapest Hungary

In this paper, we consider the analysis and control of continuous-time nonlinear systems to ensure universal shifted stability and performance, i.e., stability and performance w.r.t. each forced equilibrium point of the system. This "equilibrium-free"concept is especially beneficial for control problems that require the tracking of setpoints and rejection of persistent disturbances, such as input loads. In this paper, we show how the velocity form, i.e., the time-differentiated dynamics of the system, plays a crucial role in characterizing these properties and how the analysis of it can be solved by the application of Linear Parameter-Varying (LPV) methods in a computationally efficient manner. Furthermore, by leveraging the properties of the velocity form and the LPV framework, a novel controller synthesis method is presented which ensures closed-loop universal shifted stability and performance. The proposed controller design is verified experimentally on a real system. Additionally, we compare the proposed method to a standard LPV control design, demonstrating the improved stability and performance guarantees of the new approach. © 1963-2012 IEEE.

关键词： Equilibrium independent dissipativity linear parameter-varying systems output feedback stability of nonlinear systems

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Exploring Edge-Driven Collaborative Fine-Tuning Toward Customized AIGC Services

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IEEE Network 2025年第3期39卷 293-301页

作者： Zhang, Qinnan Zong, Tianqi Xiong, Zehui Sun, Pangbo Zhu, Jianming Qiu, Wangjie Zheng, Zhiming Poor, H. Vincent Beihang University Institute of Artificial Intelligence Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Zhongguancun Laboratory Beijing100191 China Singapore University of Technology and Design Information Systems Technology and Design Tampines 487372 Singapore Qingcheng.AI Ltd. Beijing100084 China Central University of Finance and Economics School of Information Beijing100081 China Princeton University Department of Electrical and Computer Engineering PrincetonNJ08544 United States

With the popularization of artificial intelligence-generated content (AIGC), the explosion of end users is spurring an unprecedented diversity in preferences. To cope with this challenge, the AIGC paradigm is shifting from cloud-driven pre-trained large models to edge-driven personalized customization models. The former are large-scale models with more than 100 billion parameters trained based on massive data, while the latter introduce heterogeneous user preferences or professional knowledge to fine-tune the former. However, such fine-tuning incurs costly resource consumption and privacy disclosure. In this paper, we offer a holistic perspective on the AIGC fine-tuning framework spanning from end user to edge to cloud. Specifically, we first investigate how to deploy an edge-driven collaborative fine-tuning task through federated learning. Then, we discuss a verifiable model consensus protocol and fairness incentive design for edge servers to participate in a collaborative learning task. In addition, a case study focuses on the medical scenario, where we develop a practical X-ray diagnostic demo through collaborative fine-tuning of a multimodal pre-training model, and the diagnostic dialogue and performance results are compared. Finally, potential research directions are identified to advance the edge-driven customized AIGC services. © 1986-2012 IEEE.

关键词： Phase change materials

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On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach

arXiv

引用

arXiv 2025年

作者： Liu, Yuhan Kiss, Máté Tóth, Roland Schoukens, Maarten Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Systems and Control Laboratory HUN-REN Institute for Computer Science and Control Budapest1111 Hungary

While optimal input design for linear systems has been well-established, no systematic approach exists for nonlinear systems, where robustness to extrapolation/interpolation errors is prioritized over minimizing estimated parameter variance. To address this issue, we develop a novel identification-oriented space-filling input design strategy for efficient covering of a well-defined region of interest. By placing a Gaussian Process (GP) prior on the joint input-state space, the proposed strategy leverages the GP posterior variance to construct a space-filling promoting input design cost function from the Bayesian point of view. This accordingly enables maximization of the coverage in the region of interest, thereby facilitating the generation of informative datasets. Furthermore, we theoretically prove that minimization of the cost function indicates the space-filling behavior. The effectiveness of the proposed strategy is demonstrated on both an academic example and a mass-spring-damper system, highlighting its potential practical impact on efficient exploration in identification scenarios for nonlinear dynamical systems. © 2025, CC BY-NC-SA.

关键词： Cost functions

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